Nurses' moral experience of administering PRN anti-seizure medications in pediatric palliative care.
Bibliographic record
Abstract
This article explores nurses' decision-making related to the administration of PRN anti-seizure medications to children with long-term seizure disorders in palliative care. Hermeneutic phenomenological inquiry guided by van Manen's approach was the method used. Six nurses participated in interviews. Data analysis revealed that not on my watch was the overarching theme in which nurses engaged in bearing witness, being attentive, creating connectedness, and finding the right thing to do. Four themes emerged: being in the know--what to know and ways of knowing; marking time--waiting and timekeeping; seeking a sense of personal comfort--developing a sense of comfort, experiencing distress, and responding to distress; and making the decision--recognizing a seizure, identifying options, weighing the options, and rethinking the decision. This study reveals the moral dilemmas and resulting moral distress that may be experienced in making this type of decision and advances our thinking about the corresponding tensions and rewards.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".